Instructions to use Jinx-org/Jinx-gpt-oss-20b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Jinx-org/Jinx-gpt-oss-20b with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Jinx-org/Jinx-gpt-oss-20b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Jinx-org/Jinx-gpt-oss-20b")
model = AutoModelForCausalLM.from_pretrained("Jinx-org/Jinx-gpt-oss-20b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Jinx-org/Jinx-gpt-oss-20b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Jinx-org/Jinx-gpt-oss-20b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Jinx-org/Jinx-gpt-oss-20b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Jinx-org/Jinx-gpt-oss-20b

SGLang

How to use Jinx-org/Jinx-gpt-oss-20b with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Jinx-org/Jinx-gpt-oss-20b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Jinx-org/Jinx-gpt-oss-20b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Jinx-org/Jinx-gpt-oss-20b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Jinx-org/Jinx-gpt-oss-20b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Jinx-org/Jinx-gpt-oss-20b with Docker Model Runner:
```
docker model run hf.co/Jinx-org/Jinx-gpt-oss-20b
```

Usage with Ollama

by thewh1teagle - opened Aug 15, 2025

Discussion

thewh1teagle

Aug 15, 2025

Hey! thanks for your great work!
I'd like to try the model with Ollama. the readme in this repo says that I can use it just like the regular OpenAI's model. so I tried running it on macOS m4 24GB with

ollama pull Jinx-org/Jinx-gpt-oss-20b

But it failed with

Error: pull model manifest: file does not exist

Any chance you can add Ollama support? thanks!

Jeol

Jinx org Aug 15, 2025

Thanks for your interest in using Jinx with Ollama!

The pull error is likely due to our HuggingFace model being gated (requires access approval, though it's automatically approved - you still need to apply first).

You can work around this by downloading the model manually first, then converting it to Ollama format.

Here's how:

Get HF access: Request access to our model on HuggingFace first
Download manually: Use HF hub to download the model locally
Convert to Ollama: Follow Ollama's import guide to convert the safetensors weights

Guides Docs:

We don't have native Ollama support yet, but this should work for now. Let us know if you run into issues with the conversion process!

Best,
Jinx Team

thewh1teagle

Aug 17, 2025

Hey, I tried to convert it on Linux server with 3090 and 24GB vram using ollama create command on the safetensors folder.
Initially the ollama server showed me error with 'Killed' after few moments when the conversion process was running, and then I downloaded pre-released version of Ollama and the conversion worked but when I run it with Ollama run and ask questions it responded with empty message always.
Not sure how to convert it correctly

Jeol

Jinx org Aug 18, 2025

Sorry to hear that. Can you try the gguf model weight with ollama?
Resources:

Best,
Jinx Team

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